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6.5.3 The Zachman Framework Populated with Baseball Models
Author(s) -
Botta Rick,
Bahill Terry
Publication year - 2004
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2004.tb00576.x
Subject(s) - computer science , schema (genetic algorithms) , perspective (graphical) , architecture , row , knowledge management , artificial intelligence , information retrieval , visual arts , art , database
There are guidelines for making good models. Amongst these are frameworks, which help organizations develop integrated models of their businesses. Frameworks help people understand organizations and systems. The Zachman framework for enterprise architecture is a matrix (or schema), where the six rows represent different perspectives of the organization and the six columns illustrate the items, or models, viewed from each perspective. In this paper, a Zachman framework is populated with models for Baseball. These models should be easy to understand without a steep learning curve. Most of the cells are filled with quantitative simulatable models that have been published in peer reviewed journal papers. The other cells are filled with simple thought models. Jacques Barzun said, “Whoever wants to know the heart and mind of America had better learn baseball, the rules and realities of the game.” From the perspective of the Zachman framework, the way to learn Baseball is to define the models within the framework, as presented in this paper.